RT ᴅᴇᴠᴀɴ (@mitchem)Google Web3 "just dropped a repo"Major upgrade to Solana BigQuery community datasets.Harder. Better. Faster. Stronger.Daily partitions. Clustering. Solana program Decoding.What else? Daily public datasets for Pump, Jupiter, Raydium, Orca, and MarinadeLive code & details in the 🧵below ... ...

Why don't we start off with the action that we're seeing uh in the futures, a lot of it being driven by the Broadcom earnings. We had a guest earlier said it's another moment of doubt for the AI trade. Do you agree with that sentiment.And then how do you play this. We have so many moments of doubt even after strong reports. >> Yeah, there's a lot of moments of doubt and it's not just today.It's been over the last couple of weeks and I think that's why we've seen this kind of rethinking around the AI theme. ...

We've been talking a lot about the AI trade in recent weeks, some uh throwbacks to the dot area era when we're talking about circular funding and vendor financing. Right now, we're seeing this race in chat bots. Is there is there a plain language way to look at it. Is there some comparison that kind of applies to everyday life that we can look at it.Is it kind of similar to I've heard somebody talk about VHS and beta and the battle isn't over the tech. It's on who can just kind of take the mainstream aspect ...

If you found it insightful, reshare it with your network.Find me → @_avichawlaEvery day, I share tutorials and insights on DS, ML, LLMs, and RAGs. https://t.co/djM0vgEJOuAvi Chawla (@_avichawla):- Google Maps uses graph ML to predict ETA- Netflix uses graph ML in recommendation- Spotify uses graph ML in recommendation- Pinterest uses graph ML in recommendationHere are 6 must-know ways for graph feature engineering (with code): ...

Group 1 - The company has a strong competitive position in the global market for its electromagnetic shielding film products, which are used by major overseas clients such as Samsung, Google, and Meta [1] - The company is committed to expanding its overseas market presence and offers a diverse range of products beyond shielding films, including peelable copper, ultra-thin FCCL, and film resistors [1]

Core Viewpoint - The Trade Desk has experienced a significant stock decline of approximately 67% year-to-date, raising questions about its growth potential and market position [1][10]. Financial Performance - The Trade Desk reported revenue of US$739 million for the third quarter, marking an 18% year-over-year increase [2]. - Excluding political ad spending from the previous year, underlying growth accelerated to 22%, up from 19% in the prior quarter, indicating a solid financial foundation [3]. Competitive Landscape - Investor concerns are heightened due to competition from Amazon, whose advertising division grew over 23% year-on-year and generated nearly 24 times the revenue of The Trade Desk [5]. - CEO Jeff Green emphasized that Amazon's revenue primarily comes from sponsored listings, which differ from The Trade Desk's focus on open internet programmatic advertising [5][6]. Internal Developments - The Trade Desk has undergone significant internal restructuring, including the hiring of a new COO, CFO, and Chief Revenue Officer, the latter coming from Google, signaling a long-term strategic vision [7][8]. - The company's AI-driven platform, Kokai, has shown strong results, leading to improved client performance metrics such as a 26% better cost per acquisition and a 94% improvement in click-through rates [8][14]. Business Strategy - Joint Business Plans (JBPs) now account for approximately half of The Trade Desk's revenue and are growing faster than the overall business, with over 180 active JBPs [9]. - The current stock price around US$39 reflects a shift from hypergrowth expectations to a focus on profitability and strong cash flow, positioning the company for future growth despite competitive pressures [10][11].

Core Viewpoint - Investors are concerned about a potential bubble in artificial intelligence, leading to a decline in Oracle and Nvidia stocks following earnings reports and market reactions [1]. Group 1: Stock Performance - Oracle stock closed 10.84% lower at $198.84 after its earnings report [1]. - Nvidia stock closed 1.55% lower at $180.93, marking a 12.6% decline from its peak of $207.04 on October 29 [1]. Group 2: Market Reactions - President Trump's statement on December 8 regarding Nvidia's ability to sell H200 AI chips to China had minimal impact on Nvidia's stock [2]. - Bank of America continues to endorse Nvidia as a top pick, indicating confidence in the company's future despite current market fears [3]. Group 3: Nvidia's Future Outlook - Nvidia's VP of Investor Relations indicated that current GPU-based LLMs are outdated compared to upcoming models trained on Blackwell GPUs, expected to launch in early 2026 [4]. - Nvidia anticipates a $500 billion sales outlook for Blackwell/Rubin/Networking in 2025 and 2026, with partnerships potentially adding to this figure [5]. - Analysts noted that the impact of the Trump Administration's decision to allow H200 GPU sales to China is still uncertain, pending formal licensing and demand assessments [6]. Group 4: Analyst Ratings - Bank of America analyst Vivek Arya reiterated a buy rating for Nvidia with a target price of $275, based on a price-to-earnings ratio estimate for 2027 [6].

Market Overview - The A-share and Hong Kong markets have been the best-performing globally this year, with average returns exceeding 20% despite recent profit pullbacks [1] - The Hang Seng Index has experienced a decline, with the peak drop around 8%, influenced by macroeconomic factors such as fluctuating interest rate expectations from the Federal Reserve and Japan [4][5] Sector Performance - Key sectors in the Hong Kong market, including e-commerce, AI, and new energy vehicles, are facing challenges, leading to reduced profitability and sales expectations [5] - The upcoming unlock of restricted shares in November and December, including significant companies like CATL and Hengrui Medicine, is expected to exert selling pressure on the market [5] Investment Opportunities - The Hang Seng Technology Index is currently valued at only 26% of its historical valuation, presenting a potential buying opportunity for investors looking to engage with technology and internet leaders [7] - For investors with access to overseas brokerage accounts, the U.S. stock market offers a wide range of investment options, with the S&P 500 being a historically strong asset class [9][12] ETF and Index Insights - The newly launched China Technology Innovation ETF (CNQQ) aims to capture the growth of Chinese tech companies, with a focus on those with significant R&D investments [13][14] - The ETF market in the U.S. is robust, with over $10 trillion in assets, providing various strategies and exposure to different sectors [9] Conclusion - The current market conditions suggest a cautious but optimistic outlook for both A-shares and U.S. equities, with potential for strategic investments in technology and growth sectors [16][18]

Summary of Key Points from the Conference Call Company and Industry Overview - **Company**: NVIDIA Corp (NVDA.O) - **Industry**: Artificial Intelligence (AI) and Graphics Processing Units (GPUs) Core Insights and Arguments 1. **Episodic Memory Functionality**: AWS introduced an episodic memory feature in its Bedrock AgentCore platform, enhancing AI agents' ability to understand context in interactions, which is crucial for their intelligence [2] 2. **Nested Learning Framework**: Google has developed a new framework called Nested Learning, which applies human learning principles to improve large language models (LLMs). This framework has led to the creation of a new model named Hope, which shows superior performance in reasoning and memory management [3][4] 3. **NVIDIA Rubin CPX GPU**: The Rubin CPX GPU, announced by NVIDIA, is designed for ultra-large context processing, offering up to 3x faster attention capabilities compared to previous models. It is expected to significantly reduce total cost of ownership (TCO) through the use of cost-efficient GDDR7 memory [10] 4. **Market Potential**: The Rubin CPX platform is projected to deliver a remarkable return on investment, with estimates suggesting a $5 billion revenue for every $100 million invested, indicating a potential 50x ROI [10] 5. **Valuation and Price Target**: The target price for NVIDIA is set at $270, based on a price-to-earnings (P/E) ratio of approximately 30x, which aligns with the company's historical average [12] Risks and Considerations 1. **Competition in Gaming**: There is a risk that NVIDIA could lose market share in the gaming sector, which may negatively impact stock performance [13] 2. **Adoption Rates**: Slower-than-expected adoption of new platforms could lead to lower sales in data centers and gaming [13] 3. **Market Volatility**: Fluctuations in the auto and data center markets could introduce volatility to NVIDIA's stock and valuation multiples [13] 4. **Cryptomining Impact**: The influence of cryptomining on gaming sales remains a concern, potentially affecting overall revenue [13] Additional Important Information - **Market Capitalization**: NVIDIA's market cap is reported at approximately $4.43 billion [5] - **Expected Total Return**: The expected total return for NVIDIA shares is projected at 48% [5] - **Analyst Contact Information**: Analysts Atif Malik and Adrienne Colby are available for further inquiries [6] This summary encapsulates the key points discussed in the conference call, highlighting NVIDIA's advancements in AI technology, market positioning, and associated risks.

Technological Advancement - Starcloud-1 成功在太空中使用 Nvidia H100 训练了首个 LLM [1] - Starcloud-1 首次在太空运行了 Google 的 Gemini 模型的一个版本 [1] - 该技术是朝着将几乎所有计算转移到太空的重要一步 [1] Environmental Impact - 目标是停止耗尽地球的能源资源 [1]